Method and system for evaluating operation stability of centralized heating in autonomous optimization operation

Abstract

The invention discloses a method and a system for evaluating the operation stability of centralized heating through autonomous optimization operation, and the method comprises the steps: S1, carrying out the collection, analysis, judgment and processing of operation parameters in a heat supply pipe network system, and carrying out the early warning of real-time abnormal data; s2, according to the intelligent scheduling strategy of the heat supply network obtained by the heat supply network system, safety verification of the intelligent scheduling strategy is carried out, a safety evaluation simulation model of the urban central heating system including a heat exchange station, a pipe network and a heat consumer is established, the whole network hydraulic equilibrium dynamic change process of the heat supply network system under the intelligent scheduling strategy is simulated, and the whole network hydraulic equilibrium dynamic change process of the heat supply network system under the intelligent scheduling strategy is simulated; and analyzing parameter laws, the change trend of the system and the stability of the system according to pressure and flow operation parameters in the process to obtain a verification result. The invention provides an autonomous optimization operation centralized heating operation stability evaluation method and system, and the method comprises the steps: building a function stability evaluation index of a heat supply pipe network system based on an intelligent scheduling strategy of a heat supply network obtained by the heat supply pipe network system, evaluating a system risk region according to the stability evaluation index, giving an alarm, and carrying out the judgment processing through personnel intervention.

Description

technical field [0001] The invention relates to a method and a system for evaluating the stability of central heating operation in autonomous optimal operation. Background technique [0002] At present, the heating autonomous driving system mainly includes the equipment layer, the communication layer and the decision-making layer. Among them, the equipment layer includes monitoring and collection equipment for system operating parameters and heating adjustment equipment. As the basis of the production operation scheduling control system for autonomous driving of central heating, each link of the heating system constitutes a heating system that connects upstream and downstream. The communication layer includes DCS, SCADA and other automation systems and IOT industrial Internet of Things systems, which are used to measure and perceive state parameters such as load, temperature, pressure, flow rate, meteorological environmental conditions, building room temperature, etc. Remot...

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Problems solved by technology

[0004] Most of the existing heating autonomous driving systems consider the strategic goal of meeting the heat load demand. Since the changes in the hydraulic conditions of the various loops in the system are mutually affecting and restricting, it is very easy for the station to issue unreasonable strategies. The internal pressure fluctuations of the pipeline network are caused, and a large number of on-duty personnel are required to monitor, which increases the work intensity and difficulty of the operators

And the system fault diagnosis, alarm and investigation are not timely, making the system unable to run stably and safely

Once a problem occurs, it is very easy to bring serious hidden dangers to the people, affect the normal heating, and bring immeasurable economic losses to the enterprise.

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